Clayton Chi-Chang Chen

Brain Tissue Classification Using Independent Vector Analysis (IVA) for Magnetic Resonance Image

Chein-I Chang, Clayton Chi-Chang Chen, Wu-Chung Su, 2009, 2009 Ninth IEEE International Conference on Bioinformatics and BioEngineering.

Kernel-Based Linear Spectral Mixture Analysis

Chein-I Chang, Clayton Chi-Chang Chen, Yingzi Du, 2012, IEEE Geoscience and Remote Sensing Letters.

Progressive Band Processing of Linear Spectral Unmixing for Hyperspectral Imagery

Chein-I Chang, Chao-Cheng Wu, Clayton Chi-Chang Chen, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Independent Component Analysis for Magnetic Resonance Image Analysis

Clayton Chi-Chang Chen, San-Kan Lee, Cheng-Chieh Chen, 2008, EURASIP J. Adv. Signal Process..

PPI-SVM-Iterative FLDA Approach to Unsupervised Multispectral Image Classification

Chein-I Chang, Clayton Chi-Chang Chen, Shih-Yu Chen, 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Finding Virtual Signatures for Linear Spectral Mixture Analysis

Chein-I Chang, Clayton Chi-Chang Chen, Meiping Song, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Magnetic resonance brain tissue classification and volume calculation

Clayton Chi-Chang Chen, Wu-Chung Su, Chein-I Chang, 2015 .

Detection of spectral signatures in multispectral MR images for classification

Chein-I Chang, Clayton Chi-Chang Chen, Sheng-Chih Yang, 2003, IEEE Transactions on Medical Imaging.

Weighted Radial Basis Function Kernel-Based Support Vector Machines for Multispectral Magnetic Resonance Brain Image Classification

Chein-I Chang, Clayton Chi-Chang Chen, San-Kan Lee, 2014, ICS.

A Hyperspectral Imaging Approach to White Matter Hyperintensities Detection in Brain Magnetic Resonance Images

Chein-I Chang, Clayton Chi-Chang Chen, Lin Wang, 2017, Remote. Sens..

Volume-based Magnetic Resonance Brain Image Classification

Chein-I Chang, Clayton Chi-Chang Chen, Wu-Chung Su, 2010, 2010 Fourth International Conference on Genetic and Evolutionary Computing.

Band Expansion-Based Over-Complete Independent Component Analysis for Multispectral Processing of Magnetic Resonance Images

Chein-I Chang, Clayton Chi-Chang Chen, San-Kan Lee, 2008, IEEE Transactions on Biomedical Engineering.

Detection and Classification of MS Lesions in Multispectral MR Images

Chein-I Chang, Clayton Chi-Chang Chen, San-Kan Lee, 2014, ICS.

Techniques for Automatic Magnetic Resonance Image Classification

Chein-I Chang, Chao-Cheng Wu, Clayton Chi-Chang Chen, 2010, 2010 Fourth International Conference on Genetic and Evolutionary Computing.

An Automatic Computer-Aided Detection System for Meniscal Tears on Magnetic Resonance Images

Chein-I Chang, Weimin Liu, Clayton Chi-Chang Chen, 2009, IEEE Transactions on Medical Imaging.

Feature Selection for Multispectral Brain Image Segmentation in Magnetic Resonance Imaging

Clayton Chi-Chang Chen, Hsian-Min Chen, Jyh Wen Chai, 2014, ICS.

Unsupervised Classification for Volume-Based Magnetic Resonance Brain Images

Chein-I Chang, Clayton Chi-Chang Chen, Wu-Chung Su, 2014, 2014 International Symposium on Computer, Consumer and Control.

A Supervised Hybrid Classifier for Brain Tissues and White Matter Lesions on Multispectral MRI

Che-Lun Hung, Chein-I Chang, Clayton Chi-Chang Chen, 2017, 2017 14th International Symposium on Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC).

An Over-Complete Independent Component Analysis (ICA) Approach to Magnetic Resonance Image Analysis

Chein-I Chang, Clayton Chi-Chang Chen, Jing Wang, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

Classification of Magnetic Resonance brain images by using weighted radial basis function kernels

Chein-I Chang, Clayton Chi-Chang Chen, Ching-Tsorng Tsai, 2011, 2011 International Conference on Electrical and Control Engineering.